Answer:
Step-by-step explanation:
The best option is for the consultant to remove these data points because they are outliers. Unusual data points which are located far from rest of the data points are known as outliers.
Answer:
the answer is a.
Step-by-step explanation:
I plugged your data into a graphing calculator, and got a quad reg in the picture.
Answer:

Step-by-step explanation:

Answer: The correct option is d
Step-by-step explanation:
Standard error measures how far the sample mean is from the population mean.
The formula for determining the standard error of the distribution of difference in means is expressed as
Standard error = √(s1²/n1 + s2²/n2)
where
s1 = sample 1 standard deviation
s2 = sample 2 standard deviation
n1 = number of samples 1
n2 = number of samples 2
From the information given
s1 = 2 pounds
n1 = 43 pounds
s2 = 1.7 pounds
n2 = 40 pounds
Standard error = √(2²/43 + 1.7²/40)
Answer:

Step-by-step explanation:
Using right estimation point simply means to form a bunch of rectangles between the two limits, x =2 and x = 5. and add the areas of all those rectangles.
There must be 6 subdivisions between 2 and 5. so, to do that:

the length of each subdivision is 0.5 units. That also means that the 6 rectangles in between the limits will each have the base length of 0.5 units.
So the endpoints of each subdivision from 3 to 5 will be:

By <em>right </em>endpoint approx<em>, </em>we mean that the height of the rectangles will be determined by the right endpoint of each subdivision, that is, it must be equal to the function value of the first limit.

Note that we have used the right-end-point of the subdivision to determine the height the rectangles.
All that's left to do now is to simply calculate the areas of the each of the rectangles. And add them up.
the base of each of the rectangle is 
and the height is determined in the table above.


